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AI Use Case

Alerting and diagnostics from real time patient data

Alerting and diagnostics from real-time patient data - this might include, for example, warning of a life-threatening incident such as a heart attack.



Risk reduction - Patient outcomes,Operational Support - Issue / outlier ID,Operational Support - Situational awareness

Case Studies

Cleveland Clinic~Cleveland Clinic and Microsoft identify at-risk patients in ICU to prevent the occurrence of cardiac failure with machine learning ensembles,El Camino Hospital~El Camino Hospital reduces number of patient falls by 39% using machine learning to predict when a patient is about to fall,Graphnet ~Graphnet detects changes indicative of a seizure in epileptic patients using wearable tracker and machine learning and notifies the patient and carer via app,"Fraunhofer Heinrich Hertz Institute ~Fraunhofer Heinrich Hertz Institute and University Medical Center Schleswig-Holstein, a German University Hospital, has developed an algorithm to detect the probability of getting heart attack from ECG and EEG, matching accuracies achieved by cardiologists",Kaiser Permanente~Kaiser Permanente predicts probability of rapid deterioration of patient condition and alerts physicians using machine learning,Government of Japan~Japan to automate patient information entry and some medical procedures by investing in 10 AI-powered hospitals ,Autonomous Healthcare~Autonomous Healthcare detects different types of ventilator asynchrony in ICU patients with machine learning,European Emergency Number Association (EENA)~The European Emergency Number Association (EENA) to pilot heart attack detection service with the use of neural networks

Potential Vendors




Healthcare Providers And Services

Data Sets

Time series

AI Technologies

Algorithm - Boosting,Traditional AI,Machine Learning (ML),ML Task - Prediction - Binary Classification,Model Architecture - Deep Neural Networks,ML Task - Prediction - Regression,Model Architecture - Convolutional Neural Network (CNN)

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